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Showing entries 1 to 5

Displaying posts with tag: hdfs (reset)

Announcing the MySQL Applier for Apache Hadoop
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Enabling Real-Time MySQL to HDFS Integration

Batch processing delivered by Map/Reduce remains central to Apache Hadoop, but as the pressure to gain competitive advantage from “speed of thought” analytics grows, so Hadoop itself is undergoing significant evolution. The development of technologies allowing real time queries, such as Apache Drill, Cloudera Impala and the Stinger Initiative are emerging, supported by new generations of resource management with Apache YARN

To support this growing emphasis on real-time operations, we are releasing a new

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MySQL and Hadoop
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Introduction

"Improving MySQL performance using Hadoop" was the talk which I and Manish Kumar gave at Java One & Oracle Develop 2012, India. Based on the response and interest of the audience, we decided to summarize the talk in a blog post. The slides of this talk can be found here. They also include a screen-cast of a live Hadoop system pulling data from MySQL and working on the popular 'word count' problem.



MySQL and Hadoop have been popularly considered as 'Friends with benefits' and our talk was aimed at showing how!



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Using MySQL Cluster to Protect & Scale the HDFS Namenode
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0 0 1 566 3230 Homework 26 7 3789 14.0 Normal 0 false false false EN-US JA X-NONE

The MySQL Cluster (http://mysql.com/products/cluster/) product team is always interested to see new and innovative uses of the database. Last week, a team of students at the KTH Royal Institute

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Using MySQL Cluster to Protect & Scale the HDFS Namenode
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0 0 1 566 3230 Homework 26 7 3789 14.0 Normal 0 false false false EN-US JA X-NONE

The MySQL Cluster (http://mysql.com/products/cluster/) product team is always interested to see new and innovative uses of the database. Last week, a team of students at the KTH Royal Institute

  [Read more...]
Hadoop Cluster Setup on Debian Lenny
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Today I will describe the setup of a Hadoop / HDSF multi-node cluster on Debian Lenny with a redundant Namenode using DRBD and Heartbeat, four Datanodes and Tasktracker, a Backup- Checkpointnode and Rack awareness.

Hadoop Cluster Setup on Debian Lenny purposes

This article descibes how to setup a hadoop (version 0.21.0) cluster on debian lenny (version 5.x). I will not describe how to use MapReduce.

general

Hadoop is a framework for distributed computing written in Java. The project includs the following subprojects:

  • HDFS: A distributed file system
  • MapReduce: A framework for distributed large data processing
list of references   [Read more...]
Showing entries 1 to 5

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